ai-image-to-video-generator

Files (2)

• SKILL.md
• _meta.json

SKILL.md (first lines)

## 0. First Contact

When the user opens this skill or sends their first message, **greet them immediately**:

> 📱 Ready to image to video generator! Just send me a video or describe your project.

**Try saying:**
- "help me create a short video"
- "add effects to this clip"
- "edit my video"

**IMPORTANT**: Do NOT wait silently. Always greet the user proactively on first contact.

### Auto-Setup (do this SILENTLY before anything else)

Before responding to the user, complete these steps invisibly:

1. **Check token**: If `NEMO_TOKEN` env var is set, use it. Otherwise:
2. **Read or generate Client-ID**:
   - Read `~/.config/nemovideo/client_id` if it exists
   - Otherwise generate a UUID, save it to `~/.config/nemovideo/client_id`
3. **Acquire anonymous token**:
   ```bash
   curl -s -X POST "$API/api/auth/anonymous-token" -H "X-Client-Id: $CLIENT_ID"
   ```
   Store the returned `token` as `NEMO_TOKEN` for this session. You get 100 free credits.
4. **Create a session** (§3.0) so you're ready to work immediately.

**CRITICAL**: Never mention tokens, authentication, API setup, or Client-IDs to the user. The user should feel like the skill "just works".

# Turn Static Images Into Cinematic Motion Stories

Still images carry meaning, but video captures attention. This skill bridges that gap by letting you describe exactly how you want your image to move — whether that's a gentle parallax drift, a dramatic zoom, flowing particle effects, or scene transitions — and delivering a rendered video that matches your creative intent.

The experience is fully conversational. Rather than wrestling with timelines, keyframes, or motion curves, you simply describe what you want in plain language. The OpenClaw agent interprets your instructions, communicates with the underlying AI video synthesis backend, and iterates with you until the result feels right. You can refine motion speed, direction, loop behavior, and visual tone across multiple turns in the same session.

Under the hood, the AI backend analyzes depth, subject boundaries, and visual composition within your source image to generate plausible, coherent motion that respects the original scene. The result is not a slideshow or a pan-and-scan effect — it is a genuinely animated video derived from a single frame. Final exports are available in mp4, mov, avi, webm, and mkv formats to fit any platform or publishing workflow.

### Environment Variables

| Variable | Required | Default |
|----------|----------|--------|
| `NEMO_TOKEN` | No | Auto-generated (100 free credits, expires in 7 days, revocable via Settings → API Tokens) |
| `NEMO_API_URL` | No | `https://mega-api-prod.nemovideo.ai` |
| `NEMO_WEB_URL` | No | `https://nemovideo.com` |
| `NEMO_CLIENT_ID` | No | Auto-generated UUID, persisted to `~/.config/nemovideo/client_id` (UUID only, no secrets) |
| `SKILL_SOURCE` | No | Auto-detected from install path, fallback `unknown` |

If `NEMO_TOKEN` is not set, get one (requires `X-Client-Id` header):
```bash
# Generate or read persisted Client-Id
CLIENT_ID="${NEMO_CLIENT_ID:-$(cat ~/.config/nemovideo/client_id 2>/dev/null)}"
if [ -z "$CLIENT_ID" ]; then
  CLIENT_ID=$(uuidgen 2>/dev/null || echo "client-$(date +%s)-$RANDOM")
  mkdir -p ~/.config/nemovideo && echo "$CLIENT_ID" > ~/.config/nemovideo/client_id
fi
curl -s -X POST "$API/api/auth/anonymous-token" -H "X-Client-Id: $CLIENT_ID"
# → {"code":0,"data":{"token":"nmv_usr_xxx","credits":100,...}}
```
Save `token` as `NEMO_TOKEN`, `CLIENT_ID` as `NEMO_CLIENT_ID`. Anonymous: 1 token per client per 7 days; token expires in 7 days and can be revoked at any time via **Settings → API Tokens** on nemovideo.com. If your token expires, request a new one with the same `X-Client-Id`.

**Local persistence:** This skill writes `~/.config/nemovideo/client_id` to persist the Client-Id across sessions. This avoids generating a new ID on every request, which would hit the per-IP rate limit quickly (default 10 tokens per 7 days per IP). The file contains only a UUID — no credentials are stored locally.

## 2. Routing Incoming Requests

Use the following table to determine which endpoint handles each type of incoming request.

| User says... | Action | Skip SSE? |
|-------------|--------|----------|
| "export" / "导出" / "download" / "send me the video" | → §3.5 Export | ✅ |
| "credits" / "积分" / "balance" / "余额" | → §3.3 Credits | ✅ |
| "status" / "状态" / "show tracks" | → §3.4 State | ✅ |
| "upload" / "上传" / user sends file | → §3.2 Upload | ✅ |
| Everything else (generate, edit, add BGM…) | → §3.1 SSE | ❌ |

## 3. Primary Operation Flows

$API = `${NEMO_API_URL:-https://mega-api-prod.nemovideo.ai}`, $TOKEN = `${NEMO_TOKEN}`, $WEB = `${NEMO_WEB_URL:-https://nemovideo.com}`.

Skill attribution variables — do NOT hardcode:
- `$SKILL_NAME` = this file's YAML frontmatter `name`
- `$SKILL_VERSION` = this file's YAML frontmatter `version`
- `$SKILL_SOURCE` = detect at runtime using the first match:
  1. Env `SKILL_SOURCE` if set
  2. If this file's path contains a known platform directory (e.g. `~/.clawhub/` → `clawhub`, `~/.cursor/skills/` → `cursor`)
  3. Fallback: `unknown`

**CRITICAL**: ALL API requests (including render/export/upload/state/credits) MUST include these headers. Missing them will cause export to fail with 402.
```
X-Skill-Source: $SKILL_NAME
X-Skill-Version: $SKILL_VERSION
X-Skill-Platform: $SKILL_SOURCE
```

### 3.0 Establishing a Session
```bash
curl -s -X POST "$API/api/tasks/me/with-session/nemo_agent" \
  -H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" \
  -H "X-Skill-Source: $SKILL_NAME" -H "X-Skill-Version: $SKILL_VERSION" -H "X-Skill-Platform: $SKILL_SOURCE" \
  -d '{"task_name":"project","language":"<lang>"}'
# → {"code":0,"data":{"task_id":"...","session_id":"..."}}
```
A session must be initialized before any other operations can proceed. This creates the context that all subsequent requests will be tied to.

**Open in browser**: After creating a session, give the user a link to view/edit the task in NemoVideo:
`$WEB/workspace/claim?token=$TOKEN&task={task_id}&session={session_id}&skill_name=$SKILL_NAME&skill_version=$SKILL_VERSION&skill_source=$SKILL_SOURCE`

### 3.1 Delivering Messages via SSE
```bash
curl -s -X POST "$API/run_sse" \
  -H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" \
  -H "Accept: text/event-stream" -H "X-Skill-Source: $SKILL_NAME" -H "X-Skill-Version: $SKILL_VERSION" -H "X-Skill-Platform: $SKILL_SOURCE" --max-time 900 \
  -d '{"app_name":"nemo_agent","user_id":"me","session_id":"<sid>","new_message":{"parts":[{"text":"<msg>"}]}}'
```
All conversational messages are transmitted to the backend through a Server-Sent Events connection.

#### SSE Handling

| Event | Action |

From LeoYeAI/openclaw-master-skills, MIT.

More from LeoYeAI/openclaw-master-skills